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SYLPH: An Ambient Intelligence based platform for integrating heterogeneous Wireless Sensor Networks Tapia Martínez, Dante I. Alonso Rincón, Ricardo Serafín Prieta Pintado, Fernando de la Zato Domínguez, Davinia Carolina Computer Science The significance that Ambient Intelligence (AmI) has acquired in recent years requires the development of innovative solutions. Nonetheless, the development of AmI-based systems requires the creation of increasingly complex and flexible applications. In this regard, the use of context-aware technologies is an essential aspect in these developments to perceive stimuli from the context and react upon it autonomously. This work presents a novel platform that defines a method for integrating dynamic and self-adaptable heterogeneous Wireless Sensor Networks (WSNs). This approach facilitates the inclusion of context-aware capabilities when developing intelligent ubiquitous systems, where functionalities can communicate in a distributed way. Furthermore, the information obtained must be managed by intelligent and self-adaptable technologies to provide an adequate interaction between the users and their environment. Agents and Multi-Agent Systems are one of these technologies. The agents have characteristics such as autonomy, reasoning, reactivity, social abilities and pro-activity which make them appropriate for developing dynamic and distributed systems based on AmI. This way, the integration of the platform with a Service-Oriented Multi-Agent architecture is proposed. Finally, conclusions and future work are presented. 2017-09-06T09:14:56Z 2017-09-06T09:14:56Z 2010-07 info:eu-repo/semantics/conferenceObject Fuzzy Systems (FUZZ), 2010 IEEE International Conference on. 978-1-4244-6919-2 1098-7584 http://hdl.handle.net/10366/134928 en Attribution-NonCommercial-NoDerivs 3.0 Unported https://creativecommons.org/licenses/by-nc-nd/3.0/ info:eu-repo/semantics/openAccess application/pdf IEEE https://gredos.usal.es/bitstream/10366/134928/5/1_sylph_an_ambient_intelligence_based_platform_for_integrating_heterogeneous_wireless_sensor_networks.pdf.jpg Hispana TEXT https://creativecommons.org/licenses/by-nc-nd/3.0/ Gredos. Repositorio Documental de la Universidad de Salamanca http://hdl.handle.net/10366/134928